Mortality-related risk factors of idiopathic pulmonary fibrosis: a systematic review and meta-analysis
Bibliographic record
Abstract
Background: Idiopathic pulmonary fibrosis (IPF) has high mortality and poor prognosis, which brings enormous burdens to families and society. We conducted this meta-analysis to analyze and summarize the risk factors associated with mortality in IPF, hoping to provide reference for clinical prevention and treatment of IPF. Methods: We conducted a comprehensive search of PubMed, Cochrane Library, Embase, and Web of Science from inception to August 10, 2023, to include cohort studies on mortality in patients with IPF. Two researchers independently screened the studies and extracted data. The Newcastle-Ottawa Scale (NOS) was used to assess the methodological quality of studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were reported to identify risk factors for mortality in IPF. In addition, we also carried out sensitivity analysis, Begg’s and Egger’s tests to evaluate the heterogeneity and publication bias. Results: Eighteen studies comprising 8,408 patients were included. The meta-analysis suggested that age (HR =1.03; 95% CI: 1.01, 1.04; P<0.001), forced vital capacity (FVC) (HR =0.97; 95% CI: 0.96, 0.99; P=0.005), FVC to predicted value ratio (FVC% pred) (HR =0.98; 95% CI: 0.97, 0.99; P<0.001), diffusing capacity of the lungs for carbon monoxide to predicted value ratio (DLCO% pred) (HR =0.98; 95% CI: 0.97, 0.99; P<0.001), gender-age-physiology (GAP) index (HR =1.70; 95% CI: 1.20, 2.40; P=0.003), and lung cancer (HR =2.75, 95% CI: 1.23, 6.15; P=0.01) were mortality-related risk factors in patients with IPF. Whereas, gender, smoking, body mass index (BMI), diffusing capacity of the lungs for carbon monoxide (DLCO), C-reactive protein (CRP), 6-minute walking distance (6MWD), pulmonary hypertension, gastroesophageal reflux, and cardiovascular disease were not statistically associated with death. Conclusions: Age, FVC, FVC% pred, DLCO% pred, GAP index, and lung cancer have been identified as potential risk factors for mortality in patients with IPF. Due to the limited number and quality of included studies, the conclusions need to be verified by further studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.018 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".